Convolution Integrals — Question 7

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Question 7

All functions are causal (zero for t<0t<0). Use the one-sided Laplace transform and (f*g)(t)=∫0tf(t−u)g(u)du(f*g)(t)=\int_0^t f(t-u)g(u)\,du. Write Ha(t)=0H_a(t)=0 for t<at<a and 11 for t≥at\ge a. Values at isolated endpoints do not affect an ordinary integral.

Let the unstable kernel be h(t)=eth(t)=e^t. First allow a piecewise continuous input ff supported in [0,T][0,T], where T>0T>0. Then specialize to fc(t)={1,0≤t<1,−c,1≤t<2,0,t≥2,c>0,f_c(t)=\begin{cases}1,&0\le t<1,\\-c,&1\le t<2,\\0,&t\ge 2,\end{cases} \qquad c>0, with output y=h*fcy=h*f_c.

Tasks

  1. For the general input, derive a necessary and sufficient integral condition for the output to vanish for every t≥Tt\ge T.

  2. For fcf_c, compare the choice that makes the ordinary input area zero with the choice that eliminates the output tail.

  3. For the tail-eliminating choice, derive the complete piecewise output and find its maximum.

  4. Find the transformed output for general cc and compare its exact real transform domain before and after cancellation. Explain why the common transform domain of the factors need not be the output’s full domain.

Original worksheet page 1: question and worked solution for 4-9-007
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Question 7 – Solution

Strategy. An unstable kernel remembers a weighted input area. Equal positive and negative ordinary areas need not cancel that memory.

Step 1: Factor the growing exponential. For an input supported in [0,T][0,T], (h*f)(t)=et∫0min⁡(t,T)e−uf(u)du.(h*f)(t)=e^t\int_0^{\min(t,T)}e^{-u}f(u)\,du. Thus the output is zero for every t≥Tt\ge T if and only if ∫0Te−uf(u)du=0\boxed{\int_0^T e^{-u}f(u)\,du=0}, since ete^t never vanishes.

Step 2: Distinguish the two cancellations. The ordinary area is 1−c1-c, so it vanishes at c=1c=1. The weighted area is (1−e−1)−c(e−1−e−2)(1-e^{-1})-c(e^{-1}-e^{-2}); its unique zero is c=e\boxed{c=e}. At c=1c=1 it equals (1−e−1)2>0(1-e^{-1})^2>0, leaving a growing tail.

Step 3: Recover the selected response. Using the partial weighted integrals with c=ec=e gives y*(t)={et−1,0≤t<1,e−et−1,1≤t<2,0,t≥2.\boxed{y_*(t)=\begin{cases}e^t-1,&0\le t<1,\\ e-e^{t-1},&1\le t<2,\\0,&t\ge 2.\end{cases}} The pieces agree at both junctions. It increases up to 11 and decreases from 11 to 22, so its unique maximum is e−1e-1 at t=1t=1.

Step 4: Track the transform domain. The convolution theorem initially gives, for s>1s>1, Y(s)=1−(1+c)e−s+ce−2ss(s−1).Y(s)=\frac{1-(1+c)e^{-s}+ce^{-2s}}{s(s-1)}. If c≠ec\ne e, the output has a nonzero ete^t tail and exact real domain s>1s>1. If c=ec=e, the output is compactly supported, so its transform exists for every real ss; both apparent singularities at 00 and 11 are removable. The product formula agrees with it on s>1s>1 and extends by removal of these singularities. Cancellation changes this output, not the unstable kernel. The dashed comparison uses c=1c=1, which cancels only the ordinary input area.

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